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MilanKra13
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quality-prosecutor_lc_v1

Audit Python projects for Clean Code, SOLID, and enterprise standards violations.

Updated Aug 23, 2026
Search Tags:#python#review#code-quality#static-analysis#lint#quality-tribunal
One-click install
npx skills add https://github.com/MilanKra13/python-enterprise-template --skill quality-prosecutor-lc-v1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quality-prosecutor_lc_v1
Source: https://github.com/MilanKra13/python-enterprise-template/tree/main/%7B%7Bcookiecutter.project_slug%7D%7D/.claude/skills/quality-prosecutor_lc_v1
Command: npx skills add https://github.com/MilanKra13/python-enterprise-template --skill quality-prosecutor-lc-v1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill identifies and enforces enterprise-grade code quality to catch violations early and drive maintainable software. It targets Python projects and aligns with Clean Code, SOLID, and enterprise standards.

Core Features & Use Cases

  • Prosecution of functions and classes for clean-code violations with automated scoring.
  • Configurable thresholds and actionable reports for integration into CI/CD.
  • Use Case: Teams can run checks during code reviews to flag risky changes before merging.

Quick Start

Run the quality prosecutor on your codebase to audit for Clean Code, SOLID, and enterprise-standards violations.

Frequently Asked Questions about quality-prosecutor_lc_v1

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit Python code for Clean Code and SOLID principle violations?▼

You can audit Python code for Clean Code and SOLID violations by running the quality prosecutor on your project to detect defects in functions, classes, and modules based on enterprise standards.

What metrics are used to enforce enterprise-grade Python code quality?▼

Enterprise-grade Python code quality is enforced using configurable thresholds for lines of code, complexity, parameters, nesting, and LCOM4 metrics to evaluate functions, classes, and modules.

Can I integrate static analysis checks for Python into CI pipelines and code reviews?▼

Yes, you can integrate static analysis checks into CI pipelines and code reviews to flag risky changes and generate actionable reports with automated scoring before merging.

How do I configure complexity and LOC thresholds for Python static analysis?▼

You can configure thresholds for lines of code, complexity, parameters, and nesting during the quality prosecution process to define acceptable limits and generate detailed violation reports.

Does this code quality prosecutor support frontmatter-driven activation triggers?▼

Yes, the code quality prosecutor supports frontmatter-driven skills and activation triggers to seamlessly apply quality checks during your development workflows.

What is the best way to flag risky Python code changes before merging?▼

The best way to flag risky changes before merging is to run automated quality prosecution during code reviews to identify clean-code violations and enforce enterprise-grade standards.

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